基于粒子群算法的“FAST”主动反射面调节方案研究  

作　　者：包宇新 张雯雯[1] 魏齐蕾 吴楠 

机构地区：[1]中国矿业大学(北京),北京100083

出　　处：《科技创新与应用》2022年第23期34-36,40,共4页Technology Innovation and Application

摘　　要：针对“FAST”主动反射面的调节问题展开一系列讨论,以求得使馈源舱接收比达到最高的调节方案。在相关数据的支撑下,首先运用粒子群算法求出调节前主动反射面的大致位置,即理想抛物面的方程表达式;然后运用蒙特卡洛模拟求出馈源舱接收比的方程表达式;其次建立主动反射面上各主索节点的调节量与该节点到抛物面轴线的距离的函数关系;最后再次运用粒子群算法求解。结果得到使馈源舱接收比达到最高的调节方案,此时馈源舱接收比最高为37.15%。This article discusses the adjustment scheme of active reflecting surface of "FAST", in order to find an adjustment scheme that maximizes the receiving ratio of the feed module. Under the support of relevant data, firstly, the approximate position of the active reflector before adjustment, that is, the equation expression of the ideal paraboloid, is obtained by Particle Swarm Algorithm. Then, the equation expression of the receiving ratio of the feed module is obtained by Monte Carlo Simulation. Next, the function relationship between the adjustment of each main cable node on the active reflection surface and the distance from the node to the axis of the paraboloid is established. Finally, Particle Swarm Algorithm is used again to solve the problem, and the adjustment scheme that maximizes the receiving ratio of the feed module is obtained, and the highest feed module reception ratio is 37.15%.

关 键 词：主动反射面调节 馈源舱接收比 粒子群算法 蒙特卡洛模拟 射电望远镜 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]